Ética e inteligencia artificial en educación: un análisis bibliométrico de tendencias emergentes y desafíos
Date
Authors
Subject
inteligencia artificial
ética
educación
bibliometría
privacidad
artificial intelligence
ethics
education
bibliometrics
privacy
ética
educación
bibliometría
privacidad
artificial intelligence
ethics
education
bibliometrics
privacy
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Instituto Tecnológico de Santo Domingo (INTEC)
El presente es un estudio descriptivo y retrospectivo basado en un análisis bibliométrico de las publicaciones científicas sobre la intersección de la ética, la inteligencia artificial (IA) y la educación. Se pretende proporcionar una visión del estado actual de la investigación, identificar brechas y sugerir direcciones futuras. El estudio abarca publicaciones desde 2020 hasta julio de 2024. Se analizaron 688 documentos de la base de datos Scopus para identificar tendencias de publicación, revistas líderes, temas emergentes y patrones de colaboración. Los resultados revelan un rápido crecimiento del campo, con un aumento continuo que se acelera a partir de 2022 y alcanza su punto más alto en 2024. Los temas centrales en esta intersección son la privacidad, la equidad y la transparencia en la integración de IA en contextos educativos. Se observa una fuerte tendencia hacia la colaboración interdisciplinaria, con un 78% de los documentos escritos en coautoría y se identificó una diversidad de enfoques metodológicos que va, desde estudios teóricos hasta investigaciones empíricas y revisiones sistemáticas. La intersección de estos conceptos ha tenido un impacto significativo en el discurso académico. Son necesarios más estudios longitudinales y enfoques participativos en el diseño e implementación de sistemas de IA en la educación.
This is a descriptive and retrospective study based on a bibliometric analysis of scientific publications on the intersection of ethics, artificial intelligence (AI), and education. It aims to provide an overview of the current state of research, identify gaps, and suggest future directions. The study covers publications from 2020 to July 2024. 688 documents from the Scopus database were analyzed to identify publication trends, leading journals, emerging topics, and collaboration patterns. The results reveal rapid growth in the field, with a peak in publications in 2022, followed by a consolidation phase. The central themes at this intersection are privacy, equity, and transparency in the integration of AI in educational contexts. A strong trend towards interdisciplinary collaboration is observed, with 78% of the documents written in co-authorship, and a diversity of methodological approaches was identified, ranging from theoretical studies to empirical research and systematic reviews. The intersection of these concepts has had a significant impact on academic discourse. Particular attention is drawn to the need for more longitudinal studies and participatory approaches in the design and implementation of AI systems in education.
This is a descriptive and retrospective study based on a bibliometric analysis of scientific publications on the intersection of ethics, artificial intelligence (AI), and education. It aims to provide an overview of the current state of research, identify gaps, and suggest future directions. The study covers publications from 2020 to July 2024. 688 documents from the Scopus database were analyzed to identify publication trends, leading journals, emerging topics, and collaboration patterns. The results reveal rapid growth in the field, with a peak in publications in 2022, followed by a consolidation phase. The central themes at this intersection are privacy, equity, and transparency in the integration of AI in educational contexts. A strong trend towards interdisciplinary collaboration is observed, with 78% of the documents written in co-authorship, and a diversity of methodological approaches was identified, ranging from theoretical studies to empirical research and systematic reviews. The intersection of these concepts has had a significant impact on academic discourse. Particular attention is drawn to the need for more longitudinal studies and participatory approaches in the design and implementation of AI systems in education.
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info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Items evaluated by peers
Artículos evaluado por pares
info:eu-repo/semantics/publishedVersion
Items evaluated by peers
Artículos evaluado por pares
Source
Science and Education; Vol. 9 No. 1 (2025): Science and Education; 95-111
Ciencia y Educación; Vol. 9 Núm. 1 (2025): Ciencia y Educación; 95-111
2613-8808
2613-8794
10.22206/ciened.2025.v9i1
Ciencia y Educación; Vol. 9 Núm. 1 (2025): Ciencia y Educación; 95-111
2613-8808
2613-8794
10.22206/ciened.2025.v9i1